Dr. Innanen introduced the problem of interest and a number of related challenges, and then he talked about some methods by which those challenges can be addressed. He finished his presentation by an example which was one of the recent projects that he had worked on. This seminar was appreciated by a number of graduate students and faculty members, mainly from the faculty of science.
Speaker: Dr. Kristopher Innanen, University of Calgary
Location: Mathematical Sciences 431
Date & Time: February 08, 2018. 2:00 pm – 3:00 pm
Title: Elastic Seismic FWI for Reservoir Characterization
Seismic full waveform inversion (FWI) as a technology is now regularly applied to problems in marine, i.e., offshore resource exploration and monitoring. FWI also seems to have the potential to become a major technology for monitoring elastic and rock physics properties of producing heavy oil and low-permeability reservoirs. However, some of the technical challenges faced by geophysicists in applying FWI, such as managing seismic attenuation, leakage between parameters, computational burden, etc., grow in land/elastic environments. I will give an overview of the look and feel of seismic FWI, which is at its heart a very large Newton optimization, point out where the technical bottlenecks are, discuss workarounds, and finish with an example of FWI applied in a producing Western Canadian unconventional reservoir that suggests we’re moving in the right direction.
About the speaker:
Kris Innanen received the BSc and MSc degrees from York University in 1996 and 1998, in Earth Science/Physics and Physics respectively, and the PhD degree in geophysics from the University of British Columbia in 2003. He joined the Department of Physics at the University of Houston as an Assistant Professor in 2005 and the Department of Geoscience at the University of Calgary as an Associate Professor in 2009. In 2016 he took on the directorship of the CREWES consortium. In 2006 he received the J. Clarence Karcher award from the Society of Exploration Geophysicists.
The first seminar of the Winter 2018 Biweekly Seminar Series took place today in MS 431 between 2:00 PM – 3:00 PM. Dr. Barry Sanders presented an interesting topic in which he explained who a quantum computer would work. This seminar was appreciated by many faculty members, graduate students, and undergraduate students.
Speaker: Dr. Barry Sanders, University of Calgary
Location: Mathematical Sciences 431
Date & Time: January 25, 2018. 2:00 pm – 3:00 pm
Title: Building a Quantum Computer
Quantum computing has evolved from intriguing concept 35 years ago to buzzing commercial endeavor today. I explain the purpose of a quantum computer, how it would work, different types of quantum computing approaches, and various media from photons to superconducting circuits to ions for realizing a functioning quantum computer.
About the speaker:
Dr. Barry Sanders is the Director of the Institute for Quantum Science and Technology at the University of Calgary and holds a 1000-Talent Chair at the University of Science and Technology China. He is especially well known for seminal contributions to theories of quantum-limited measurement, highly nonclassical light, practical quantum cryptography and optical implementations of quantum information tasks. His current research interests include quantum resources & algorithms, optical & atomic implementations of quantum information tasks and protocols, quantum processes in biological systems, and machine learning for quantum control. Dr. Sanders is a Fellow of the Institute of Physics (U.K.), the Optical Society of America, the Australian Institute of Physics, the American Physical Society and the Royal Society of Canada, and a Senior Fellow of the Canadian Institute for Advanced Research. In 2016 Sanders was awarded the Imperial College London Doctor of Science (DSc) degree, and he is Editor-in-Chief of New Journal of Physics.
The Society for Industrial and Applied Mathematics (SIAM) organized an information and registration session on Thursday, January 18, 2018, between 5:00 pm and 6:00 pm in MS 431. This session was appreciated by a number of graduate and undergraduate students of the University. There was a special guest for this event, Dr. Antony Ware.
The Vice-president of the Chapter, Katie Burak, presented a short introduction on what SIAM is, and what the next steps of the Chapter are, etc. This presentation was followed by answering follow up questions by the Chapter president, Hatef Dastour. Finally, pizza and light refreshments were served and the attendees of this session had a chance to communicate more with each other while eating.
Speaker: Dr. Yuriy Zinchenko, University of Calgary
Location: Mathematical Sciences 325
Date: Wednesday, September 27, 2017
Time: 1:00 PM – 2:00 PM
Title: Radiotherapy Optimization: From Uncertainty to DVH Modeling
Abstract: Radiation therapy is an important modality in cancer treatment. To find a good treatment plan, optimization models and methods are typically used. Within the optimization models, several conflicting objectives such as sparing of healthy Organs at Risk (OAR) and eradicating the tumor, are pursued simultaneously. Besides the inherent complexity of some of the clinically-important planning criteria, particularly, the so-called dose-volume requirements for the OAR, the treatment optimization process is further complicated by the presence of uncertainties. In this talk, we will briefly survey the optimization approaches that can handle the uncertainties by robustifying the underlying model and discuss several alternatives to approximate the exact dose-volume requirements in a computationally-tractable fashion.
More about Dr. Zinchenko:
Dr. Zinchenko received his Ph.D. from Cornell University in 2005 under the supervision of Prof. James Renegar. From 2005 to 2008 he was a post-doctoral fellow at the Advanced Optimization Lab at McMaster University, working with Prof. Tamas Terlaky and Prof. Antone Deza. Additionally, from 2006 to 2008 Dr. Zinchenko was a post-doctoral researcher with the Radiation Oncology group at the Princess Margaret Hospital in Toronto. Currently, Dr. Zinchenko is an Associate Professor of Mathematics and Statistics at the University of Calgary. Dr. Zinchenko’s primary research interest lies in convex optimization, and particularly, the curvature of the central path for interior-point methods, and applications. In 2007, Dr. Zinchenko’s work on optimal radiotherapy design was recognized by the MITACS Award for Best Novel Use of Mathematics in Technology Transfer. In 2012-2015 he served as one of the PIs for PIMS Collaborative Research Group grant on optimization.
Dr. Anatoliy Swishchuk, who is a Professor of financial mathematics at the Department of Mathematics and Statistics of the University of Calgary, presented at the first seminar of Fall 2017 Biweekly Seminar series. This seminar was appreciated by a number of faculty members, post-docs, graduate students, and undergraduate students of the University. Dr. Swishchuk presented a history of probability and financial mathematics (FM), and some basic ideas and methods and results in FM, and then Connection FM and financial industry, and a description of many new directions and developments in FM.